Triple
T8053493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Graben |
E187732
|
entity |
| Predicate | hasHydrocarbonSystemElement |
P35
|
FINISHED |
| Object | source rocks |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: source rocks | Statement: [Central Graben, hasHydrocarbonSystemElement, source rocks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHydrocarbonSystemElement Context triple: [Central Graben, hasHydrocarbonSystemElement, source rocks]
-
A.
hydrocarbonSystem
Indicates a relationship where entities participate together in or belong to the same hydrocarbon system, such as a connected set of geological components involved in hydrocarbon generation, migration, and accumulation.
-
B.
hasHybridization
Indicates that one entity participates in or results from a hybridization process involving another entity.
-
C.
hasPart
chosen
Indicates that one entity is a component, segment, or constituent part of another entity.
-
D.
hydrocarbonPotential
Indicates the degree to which a geological unit or material is capable of generating, containing, or yielding hydrocarbons such as oil or natural gas.
-
E.
hasChemicalClass
Indicates that an entity belongs to, or is categorized under, a particular chemical class based on its structural or compositional characteristics.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca82b15e948190a62fd7af5218426a |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3f7c425c8190aa1b2f534afeb58c |
completed | March 31, 2026, 3:29 a.m. |
| PD | Predicate disambiguation | batch_69cb049a1b9c8190811c396421ebf9c9 |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:25 p.m.